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  • Integrated Process Design and Operational Optimization Via Multiparametric Programming

    Integrated Process Design and Operational Optimization Via Multiparametric Programming by Burnak, Baris; Diangelakis, Nikolaos A.; Pistikopoulos, Efstratios N.;

    Series: Synthesis Lectures on Engineering, Science, and Technology;

      • GET 8% OFF

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      • Publisher's listprice EUR 87.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        36 083 Ft (34 365 Ft + 5% VAT)
      • Discount 8% (cc. 2 887 Ft off)
      • Discounted price 33 197 Ft (31 616 Ft + 5% VAT)

    36 083 Ft

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    Product details:

    • Publisher Morgan & Claypool Publishers
    • Date of Publication 30 September 2020
    • Number of Volumes Paperback

    • ISBN 9781681739540
    • Binding Paperback
    • No. of pages258 pages
    • Size 235x191 mm
    • Weight 333 g
    • Language English
    • 0

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    Short description:

    Presents a comprehensive optimization-based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales.

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    Long description:

    This book presents a comprehensive optimization-based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales. Conventional methods in the process industry often isolate decision making mechanisms with a hierarchical information flow to achieve tractable problems, risking suboptimal, even infeasible operations. In this book, foundations of a systematic model-based strategy for simultaneous process design, scheduling, and control optimization is detailed to achieve reduced cost and improved energy consumption in process systems. The material covered in this book is well suited for the use of industrial practitioners, academics, and researchers.

    In Chapter 1, a historical perspective on the milestones in model-based design optimization techniques is presented along with an overview of the state-of-the-art mathematical tools to solve the resulting complex problems. Chapters 2 and 3 discuss two fundamental concepts that are essential for the reader. These concepts are (i) mixed integer dynamic optimization problems and two algorithms to solve this class of optimization problems, and (ii) developing a model based multiparametric programming model predictive control. These tools are used to systematically evaluate the tradeoffs between different time-scale decisions based on a single high-fidelity model, as demonstrated on (i) design and control, (ii) scheduling and control, and (iii) design, scheduling, and control problems. We present illustrative examples on chemical processing units, including continuous stirred tank reactors, distillation columns, and combined heat and power regeneration units, along with discussions of other relevant work in the literature for each class of problems.

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